Intrinsic Grassmann Averages for Online Linear and Robust Subspace Learning

no code implementations • CVPR 2017 • Rudrasis Chakraborty, Soren Hauberg, Baba C. Vemuri

We have demonstrated competitive performance of our proposed online subspace algorithm method on one synthetic and two real data sets.

Highly-Expressive Spaces of Well-Behaved Transformations: Keeping It Simple

1 code implementation • ICCV 2015 • Oren Freifeld, Soren Hauberg, Kayhan Batmanghelich, John W. Fisher III

We propose novel finite-dimensional spaces of R - R transformations, n [?]

Image Registration

Model Transport: Towards Scalable Transfer Learning on Manifolds

no code implementations • CVPR 2014 • Oren Freifeld, Soren Hauberg, Michael J. Black

We demonstrate the approach by transferring PCA and logistic-regression models of real-world data involving 3D shapes and image descriptors.

regression Transfer Learning

Grassmann Averages for Scalable Robust PCA

no code implementations • CVPR 2014 • Soren Hauberg, Aasa Feragen, Michael J. Black

We exploit that averages can be made robust to formulate the Robust Grassmann Average (RGA) as a form of robust PCA.

Dimensionality Reduction Shadow Removal +1